Video Lectures

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 Week 1 - Introduction to Natural Language Processing

 Week 1 - The Language Modeling Problem

 Week 1 - Parameter Estimation in Language Models

 Week 1 - Summary

 Week 2 - Tagging Problems, and Hidden Markov Models

 Week 3 - Parsing, and Context-Free Grammars

 Week 3 - Probabilistic Context-Free Grammars (PCFGs)

 Week 4 - Weaknesses of PCFGs

 Week 4 - Lexicalized PCFGs

 Week 5 - Introduction to Machine Translation (MT)

 Week 5 - The IBM Translation Models

 Week 6 - Phrase-based Translation Models

 Week 6 - Decoding of Phrase-based Translation Models

 Week 7 - Log-linear Models

 Week 8 - Log-linear Models for Tagging (MEMMs)

 Week 8 - Log-Linear Models for History-based Parsing

 Week 9 - Unsupervised Learning: Brown Clustering

 Week 9 - Global Linear Models (GLMs)

 Week 10 - GLMs for Tagging

 Week 10 - GLMs for Dependency Parsing